Discriminative training of hierarchical acoustic models for large vocabulary continuous speech recognition

In this paper we propose discriminative training of hierarchical acoustic models for large vocabulary continuous speech recognition tasks. After presenting our hierarchical modeling framework, we describe how the models can be generated with either minimum classification error or large-margin traini...

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Bibliographic Details
Main Authors: Chang, Hung-An, Glass, James R.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2011
Online Access:http://hdl.handle.net/1721.1/60562
https://orcid.org/0000-0002-3097-360X